A Sketch Recognition System for Recognizing Free-Hand Course of Action Diagrams

Tracy Hammond, Drew Logsdon, Brandon Paulson, Joshua Johnston, Joshua M. Peschel, Aaron Wolin, Paul Taele

Proceedings of the AAAI Conference on Artificial Intelligence · 2010 · 18 citations · 8 references

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Abstract

Military course-of-action (COA) diagrams are used to depict battle scenarios and include thousands of unique symbols, complete with additional textual and designator modifiers. We have created a real-time sketch recognition interface that recognizes 485 freely-drawn military course-of-action sym- bols. When the variations (not allowable by other systems) are factored in, our system is several orders of magnitude larger than the next biggest system. On 5,900 hand-drawn symbols, the system achieves an accuracy of 90% when con- sidering the top 3 interpretations and requiring every aspect of the shape (variations, text, symbol, location, orientation) to be correct.

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